Seminars 李政道研究所-粒子核物理研究所联合演讲

Uncertainty Quantification for Neutrino Opacities in Core-Collapse Supernovae and Neutron Star Mergers

by Dr Zidu Lin (University of Tennesse, Knoxville)

Asia/Shanghai
Online

Online

Description

Abstract

With the detection of gravitational wave(GW) GW170817 and the gamma ray burst GRB 170817A, the study of astrophysics is stepping into a multi-messenger era. By jointly analyzing the electromagnetic signals and the GW signals from binary neutron star mergers, much information about dense matter properties and nucleosynthesis could be obtained. Besides electromagnetic and gravitational wave signals, neutrino signals from CCSNe/binary mergers are valuable messengers that await to join the multi-messenger studies, since they carry the information of the high-density equation of states (EoSs) and the abundance of heavy elements. However, it is still unclear how neutrinos interact with nucleons/nuclei/exotic matter at high densities. In this talk, I will discuss how we can use measurements from terrestrial nuclear experiments to constrain the properties of neutrino-nucleon interactions and pave the way to multi-messenger astrophysics including neutrinos.

Biography:

I'm an NP3M fellow working on nuclear astrophysics at University of Tennessee, Knoxville. My doctoral dissertation was conducted in consultation with Prof. C. J. Horowitz at Indiana University Bloomington, where I studied the neutral current weak interactions that play crucial role in measurements of neutron skin thickness and in determination of neutrino-dense matter interactions in core-collapse supernovae. From 2018 to 2020, I was a postdoc at Arizona state university, where I worked with Prof. Cecilia Lunardini mainly on joint analysis of the neutrino+GW signals from CCSNe. Beginning 2020, I joined Prof. Andrew Steiner's group at University of Tennessee, Knoxville, where I mainly study the neutrino-dense matter interactions that are consistent with underlying EoSs.

Online meeting room

https://cern.zoom.us/j/62974552865?pwd=eHZ0Skp4a0c4WVQ3RUNCNmVlL3JFdz09  ID: 629 7455 2865 Passcode: 123456